Parameter name changes (min_sim -> sim_param)
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				| @ -7,8 +7,8 @@ require(scales) | ||||
| 
 | ||||
| data = read.csv("datasets/clustering_progress.csv") | ||||
| 
 | ||||
| e = data %>% filter(min_sim %in% c(0.1, 0.5, 0.99)) | ||||
| e$percent = paste("SIM =", as.factor(round(e$min_sim*100,0)), " %") | ||||
| e = data %>% filter(sim_param %in% c(0.1, 0.5, 0.99)) | ||||
| e$percent = paste("SIM =", as.factor(round(e$sim_param*100,0)), " %") | ||||
| 
 | ||||
| # Development when adding more jobs | ||||
| ggplot(e, aes(x=jobs_done, y=elapsed, color=alg_name)) + geom_point() + facet_grid(percent ~ .) + ylab("Cummulative runtime in s") + xlab("Jobs processed") + scale_y_log10() + theme(legend.position = "bottom") | ||||
| @ -16,6 +16,6 @@ ggsave("fig/runtime-cummulative.png", width=6, height=4.5) | ||||
| 
 | ||||
| # Bar chart for the maximum | ||||
| e = data %>% filter(jobs_done >= (jobs_total - 9998)) | ||||
| e$percent = as.factor(round(e$min_sim*100,0)) | ||||
| e$percent = as.factor(round(e$sim_param*100,0)) | ||||
| ggplot(e, aes(y=elapsed, x=percent, fill=alg_name)) + geom_bar(stat="identity") + facet_grid(. ~ alg_name, switch = 'y') + scale_y_log10()  + theme(legend.position = "none") + ylab("Runtime in s") + xlab("Minimum similarity in %") + geom_text(aes(label = round(elapsed,0), angle = 90, y=0*(elapsed)+20)) | ||||
| ggsave("fig/runtime-overview.png", width=7, height=2) | ||||
|  | ||||
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